Digital video steganalysis toward spread spectrum data hiding

作者: Nematollah Zarmehi , Mohammad Ali Akhaee

DOI: 10.1049/IET-IPR.2014.1019

关键词: Video trackingMotion compensationSteganographyBlock-matching algorithmMathematicsArtificial intelligenceVideo denoisingComputer visionFeature extractionInformation hidingSteganalysis

摘要: In this study, the authors propose a steganalytic scheme for digital video spread spectrum (SS) data hiding. The proposed method estimates both hidden message and gain factor of SS embedding rules. method, cover frames are first estimated compared with received frames. Then, residual matrix is computed specific features extracted from as well support vector machine, then applies to classify either clean or suspicious. If declared suspicious, process consequently original reconstructed. simulation results confirm success authors’ in detecting stego video, estimation reconstruction video.

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